An Interpretability-Guided Framework for Responsible Synthetic Data Generation in Emotional Text

arXiv — cs.LGFriday, November 21, 2025 at 5:00:00 AM
  • The introduction of an interpretability
  • This development is significant as it enables better emotion recognition, which is crucial for understanding public sentiment, while also addressing the limitations of current synthetic data approaches.
  • The framework's reliance on SHAP underscores the importance of interpretability in AI, reflecting broader discussions on ethical AI practices and the need for responsible data generation methods.
— via World Pulse Now AI Editorial System

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